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rgw  

Goodman-Weare Affine-Invariant Sampling
View on CRAN: Click here


Download and install rgw package within the R console
Install from CRAN:
install.packages("rgw")

Install from Github:
library("remotes")
install_github("cran/rgw")

Install by package version:
library("remotes")
install_version("rgw", "0.3.0")



Attach the package and use:
library("rgw")
Maintained by
Adam Mantz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-10
Latest Update: 2020-08-11
Description:
Implementation of the affine-invariant method of Goodman & Weare (2010) , a method of producing Monte-Carlo samples from a target distribution.
How to cite:
Adam Mantz (2016). rgw: Goodman-Weare Affine-Invariant Sampling. R package version 0.3.0, https://cran.r-project.org/web/packages/rgw. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1.0 (2016-10-10 19:32)
Other packages that cited rgw R package
View rgw citation profile
Other R packages that rgw depends, imports, suggests or enhances
Complete documentation for rgw
Functions, R codes and Examples using the rgw R package
Some associated functions: GoodmanWeare . GoodmanWeare.rem . rgw-package . 
Some associated R codes: rgw.R .  Full rgw package functions and examples
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